Cover Image

Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Girão, Willian Soares, Risi, Nicoletta, Chicca, Elisabetta
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
by: Xiao, Mingqing, et al.
Published: (2024)

Learning with Spike Synchrony in Spiking Neural Networks
by: Tian, Yuchen, et al.
Published: (2025)

Multi-Plasticity Synergy with Adaptive Mechanism Assignment for Training Spiking Neural Networks
by: Liu, Yuzhe, et al.
Published: (2025)

Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
by: Han, Bing, et al.
Published: (2022)

Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
by: Li, Yaxin, et al.
Published: (2024)

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
by: Saiin, Ryuji, et al.
Published: (2023)

NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework
by: Caviglia, Alessio, et al.
Published: (2026)

Continual Learning with Columnar Spiking Neural Networks
by: Larionov, Denis, et al.
Published: (2025)

Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
by: Ma, Chenxiang, et al.
Published: (2025)

SpikeFI: A Fault Injection Framework for Spiking Neural Networks
by: Spyrou, Theofilos, et al.
Published: (2024)

Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
by: Yu, Ziqiao, et al.
Published: (2025)

Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
by: Ding, Yongqi, et al.
Published: (2026)

SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA
by: Padovano, Dario, et al.
Published: (2024)

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
by: Han, Bing, et al.
Published: (2023)

Parallel Hyperparameter Optimization Of Spiking Neural Network
by: Firmin, Thomas, et al.
Published: (2024)

Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks
by: Chakraborty, Biswadeep, et al.
Published: (2024)

EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks
by: Graf, Lars, et al.
Published: (2024)

TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
by: Apolinario, Marco Paul E., et al.
Published: (2025)

Spiking Neural Networks: The Future of Brain-Inspired Computing
by: Aribe Jr, Sales G.
Published: (2025)

Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
by: Koopman, Roel, et al.
Published: (2024)

Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
by: Raptis, Spyridon, et al.
Published: (2025)

Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
by: Zhang, Boxuan, et al.
Published: (2025)

TS-SNN: Temporal Shift Module for Spiking Neural Networks
by: Yu, Kairong, et al.
Published: (2025)

Generalization Bounds of Spiking Neural Networks via Rademacher Complexity
by: Zhang, Shao-Qun, et al.
Published: (2026)

Spikingformer: A Key Foundation Model for Spiking Neural Networks
by: Zhou, Chenlin, et al.
Published: (2023)

Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
by: Pan, Wenxuan, et al.
Published: (2024)

Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
by: Cai, Wuque, et al.
Published: (2026)

Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations
by: Mamoń, Szymon, et al.
Published: (2026)

A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models
by: Sanaullah, et al.
Published: (2024)

Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
by: Wang, Lihao, et al.
Published: (2024)

Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
by: Shen, Guobin, et al.
Published: (2023)

Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)

Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis
by: Zhou, Yunduo, et al.
Published: (2025)

Neural Dynamics Self-Attention for Spiking Transformers
by: Zhang, Dehao, et al.
Published: (2026)

SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks
by: Gogebakan, Anil Bayram, et al.
Published: (2024)

Spark: Modular Spiking Neural Networks
by: Franco, Mario, et al.
Published: (2026)

Continuous Spiking Graph Neural Networks
by: Yin, Nan, et al.
Published: (2024)

An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence
by: Zheng, Shengjie, et al.
Published: (2022)

Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
by: Feng, Wanjin, et al.
Published: (2025)

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
by: Chakraborty, Biswadeep, et al.
Published: (2024)